Drive the vision, strategy, and roadmap for personalization in Gemini models. Engage with consumers, developers, and enterprise customers, and track competitive and market intelligence to identify high-value use cases and capability gaps. Establish and scale human and synthetic data, simulated environments, user personas, and user simulators needed to evaluate and train personalized behaviors, along with programmatic quality control that ensures a high yield of high quality data.
Own the quality bar for personalization/personalized agent task success by defining the evaluations, benchmarks, autoraters, and human-rater programs that measure it, and use them to drive model hill-climbing, checkpoint selection, and release decisions. Work with Privacy, Trust & Safety, Security, and Responsible AI teams. Partner with post-training teams to set capability targets and close quality gaps/integration surfaces.
Job description provided by Google.
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